Development of Fast Refinement Detectors on AI Edge Platforms

24 September 2019

Papers citing "Development of Fast Refinement Detectors on AI Edge Platforms"

8 / 8 papers shown

Title
Deformable ConvNets v2: More Deformable, Better Results Xizhou Zhu Han Hu Stephen Lin Jifeng Dai ObjD 83 1,998 0 27 Nov 2018
Light-Head R-CNN: In Defense of Two-Stage Object Detector Zeming Li Chao Peng Gang Yu Xiangyu Zhang Yangdong Deng Jian Sun ObjD 43 366 0 20 Nov 2017
Single-Shot Refinement Neural Network for Object Detection Shifeng Zhang Longyin Wen Xiao Bian Zhen Lei Stan Z. Li ObjD 45 1,286 0 18 Nov 2017
CoupleNet: Coupling Global Structure with Local Parts for Object Detection Yousong Zhu Chaoyang Zhao Jinqiao Wang Xu Zhao Yi Wu Hanqing Lu ObjD 63 253 0 09 Aug 2017
RON: Reverse Connection with Objectness Prior Networks for Object Detection Tao Kong F. Sun Anbang Yao Huaping Liu Ming Lu Yurong Chen ObjD 61 404 0 06 Jul 2017
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving Bichen Wu Alvin Wan F. Iandola Peter H. Jin Kurt Keutzer 80 513 0 04 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 442 10,281 0 16 Nov 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks Jifeng Dai Yi Li Kaiming He Jian Sun ObjD 119 5,627 0 20 May 2016